{"id":972570,"url":"https://alion.io/job/sp-global-associate-director-data-platforms-technical-lead","title":"Associate Director, Data Platforms — Technical Lead","company":{"id":8679,"name":"S&P Global","domain":"spglobal.com","url":"https://alion.io/company/spglobal","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":61,"ghost_share":0.016,"stale_share":0.574,"repost_share":0.066,"time_to_fill_p50_days":23,"computed_at":"2026-11-05T05:54:30Z"}},"role":"Backend","role_family":"Backend","seniority":"head","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":18500,"max_usd":47000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":156},"experience_years_min":9,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Kinesis","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"IAM","optional":false},{"name":"Incident Management","optional":false},{"name":"LLM","optional":false},{"name":"Platform Engineering","optional":false},{"name":"pySpark","optional":false},{"name":"SQL","optional":false},{"name":"Python","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-16T18:59:42Z","employer_posted_date":"2026-09-16","last_verified_at":"2026-11-05T04:42:29Z","board_verified":true,"closed_at":null,"days_open":49,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":49},"description":"About the Role:\nGrade Level (for internal use):\n12Key Responsibilities\nData Pipeline Transition and Platform Delivery\nPartner with the core Databricks team to plan and execute the transition of existing data pipelines to the target data platform.\n\nDrive the implementation of repeatable engineering patterns for ingestion, transformation, testing, deployment, and monitoring across onboarded datasets.\n\nEnsure pipelines are designed and managed in a way that supports long-term platform consistency, reliability, observability, and ease of support.\n\nGuide the design and operation of cloud-native data pipelines using AWS services such as:\nAmazon S3 for durable data lake storage\n\nAWS Glue for integration, cataloging, and processing\n\nAWS Lambda for event-driven processing\n\nAmazon Kinesis for streaming use cases\n\nAWS Lake Formation for governed data lake controls\n\nPromote the use of AWS IAM, encryption, environment-level controls, and platform guardrails to enforce secure access to platform resources and data products.\n\nSupport practical application of lakehouse technologies and concepts such as Delta Lake, Apache Iceberg, Databricks Unity Catalog, metadata-driven pipelines, and governed data access patterns.\n\nData Onboarding and Asset-Agnostic Enablement\nDefine and operationalize onboarding patterns that support a broad range of data assets, domains, and source systems without requiring bespoke platform redesign for each use case.\n\nWork with platform, data engineering, architecture, governance, and business-aligned teams to simplify and standardize how data is ingested, transformed, governed, and published to the enterprise platform.\n\nCreate or contribute to reusable technical assets such as design patterns, reference implementations, onboarding templates, pipeline frameworks, technical documentation, and operational runbooks.\n\nSupport asset-agnostic onboarding by ensuring data pipelines are configurable, metadata-driven, scalable, and aligned with enterprise data platform standards.\n\nData Mastering Platform Integration\nSupport integration of platform pipelines and datasets with the enterprise data mastering platform.\n\nCollaborate with upstream and downstream stakeholders to ensure mastered data can be consumed reliably through standardized interfaces and governed data flows.\n\nHelp establish data quality controls, reconciliation processes, metadata alignment, and stewardship workflows required to support trusted mastered data in the platform.\n\nContribute to issue resolution and continuous improvement related to mastering-related ingestion and distribution workflows.\n\nSupport data mastering capabilities aligned with platforms such as NeoXam DataHub, including: Data acquisition, Cleansing, Enrichment, Mastering, Reconciliation, Golden copy generation & Downstream distribution of trusted data products.\n\nTechnical Leadership and Engineering Excellence\nServe as a senior technical individual contributor for data platform engineering, providing expertise across pipeline migration, lakehouse architecture, AWS-native data engineering, governance, and mastering integrations.\n\nInfluence technical direction without direct people management responsibility.\n\nContribute to architecture discussions, design reviews, implementation planning, code reviews, technical standards, and production readiness reviews.\n\nTranslate broader architectural direction into actionable engineering patterns, implementation plans, and technical deliverables.\n\nPromote engineering best practices including: Version control, Automated testing, CI/CD, Release automation, Monitoring and alerting, Incident response, Documentation.\n\nHelp establish cloud engineering standards for infrastructure automation, release management, and environment promotion using tools and services such as AWS CodePipeline, AWS CodeBuild, and infrastructure automation frameworks.\n\nDrive operational rigor across production data pipelines, including observability, logging, telemetry, support models, service ownership, and incident management.\n\nCollaboration, Governance, and Platform Standards\nPartner effectively with global platform, architecture, governance, security, Databricks-aligned, and data mastering teams to ensure delivery aligns with enterprise standards.\n\nAct as a technical bridge between platform strategy and engineering execution.\n\nSupport governance requirements through appropriate controls around:\nData lineage\n\nSchema consistency\n\nData quality\n\nMetadata\n\nRetention\n\nAccess control\n\nEncryption\n\nAuditability\n\nSecure data distribution\n\nEnsure monitoring and operational health practices are in place using logging, alerting, telemetry, dashboards, and AWS-native operational tooling where appropriate.\n\nRequired Qualifications\n8+ years of experience in data engineering, data platforms, cloud data architecture, or related engineering domains.\n\nProven ability to drive technical initiatives and influence engineering outcomes in a complex, execution-focused environment.\n\nExperience partnering with global or distributed teams to deliver platform and pipeline initiatives across time zones.\n\nTechnical Expertise\nStrong hands-on experience with modern data engineering and pipeline development, including batch and/or streaming data workflows.\n\nExperience working with Databricks-based data platforms and supporting migration or transition of pipelines into a lakehouse-oriented architecture.\n\nStrong familiarity with AWS cloud-native data engineering, including services such as Amazon S3, AWS Glue, AWS Lambda, AWS Lake Formation, Amazon Kinesis, AWS IAM, and AWS-native monitoring, logging, and security capabilities.\n\nWorking knowledge of technologies and concepts such as Delta Lake, Apache Iceberg, Databricks Unity Catalog, metadata-driven pipelines, data lake governance, lakehouse architecture, and catalog-driven processing.\n\nExperience supporting data integration patterns involving mastering, MDM, reference data, market data, investment data, risk data, or trusted data distribution workflows.\n\nSolid understanding of data quality, schema management, lineage, metadata, access control, encryption, and operational support for production data pipelines.\n\nExperience with AWS IAM, data lake governance, policy-based access controls, and secure platform operations.\n\nFamiliarity with engineering best practices such as version control, automated testing, CI/CD, infrastructure automation, release management, and monitoring.\n\nExperience designing or implementing data platform observability and reliability practices, including alerting, monitoring, telemetry, operational dashboards, and production support procedures.\n\nAI Tooling and LLM-Enabled Engineering\nPractical experience using AI tooling such as Claude, large language models, or similar AI-assisted development platforms in an engineering context.\n\nExperience applying LLMs to data engineering or software engineering workflows, including code generation, refactoring, test creation, documentation, debugging, troubleshooting, and pipeline analysis.\n\nAbility to use AI-assisted workflows to support Databricks, AWS data engineering, SQL, PySpark, pipeline migration, data quality analysis, and operational support activities.\n\nAbility to evaluate, validate, and refine AI-generated code or recommendations before applying them to production-grade engineering work.\n\nCollaboration and Execution\nStrong communication and stakeholder management skills, with the ability to work effectively across US-based, offshore, and global teams.\n\nAbility to translate broader architectural direction into actionable technical deliverables, implementation plans, and reusable engineering patterns.\n\nComfortable operating in a role that blends technical strategy, architectural influence, hands-on engineering, and delivery enablement.\n\nGrade: 12 {9 to 13 years of experience}\nLocation: Hyderabad\nShift Time: 12 to 9 pm IST\nWorking Model: twice a week / 9 days a month work from office\nAbout S&P GlobalDow Jones Indices\nAt S&P Dow Jones Indices, we provideiconic and innovative index solutions backed by unparalleled expertiseacross the asset-class spectrum. By bringing transparency to the global capital markets, we empower investors everywhere to make decisions with conviction. We’rethe largest global resource for index-based concepts, data and research, and home to iconic financial market indicators, such as the S&P 500®and the Dow Jones Industrial Average®. More assets are invested in products based upon our indices than any other index provider in the world. With over USD 7.4 trillion in passively managed assets linked to our indices and over USD 11.3 trillion benchmarked to our indices, our solutions are widely considered indispensable in tracking market performance, evaluating portfoliosand developing investment strategies.\nS&P Dow Jones Indices is a division of S&P Global (NYSE: SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodityand automotive markets. With every one of our offerings, we help many of the world’s leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit www.spglobal.com/spdji.\nWhat’s In It For You?\nOur Mission: \nAdvancing Essential Intelligence.\nOur People:\nWe're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.\nOur Values:\nIntegrity, Discovery, Partnership\nThroughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.\nBenefits:\nWe take care of you, so you can take care of business. We care about our people. That’s why we provide everything you-and your career-need to thrive at S&P Global.\nOur benefits include:\nHealth & Wellness: Health care coverage designed for the mind and body.\n\nFlexible Downtime: Generous time off helps keep you energized for your time on.\n\nContinuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.\n\nInvest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.\n\nFamily Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.\n\nBeyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.\n\nFor more information on benefits by country visit: https://spgbenefits.com/benefit-summaries\nGlobal Hiring and Opportunity at S&P Global:\nAt S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.\nRecruitment Fraud Alert:\nIf you receive...","description_format":"text","description_chars":13702,"description_truncated":true,"requirements":{"experience_years_min":9,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Retirement plans","Wellness"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Credit Bureaus & Rating Agencies","Financial Data & Market Intelligence"],"lifecycle":[{"event":"open","at":"2026-09-16T18:59:42Z"}],"visa":[],"liveness":{"score":16,"band":"cold","label":"Long shot","p_open":1,"p_active":0.578,"p_room":0.28,"age_days":49,"expected_fill_days":23,"reasons":["conf:1","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-11-05T05:54:30Z"},"pay":null,"html_url":"https://alion.io/job/sp-global-associate-director-data-platforms-technical-lead","json_url":"https://alion.io/job/sp-global-associate-director-data-platforms-technical-lead.json","meta":{"generated_at":"2026-11-05T06:12:48Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":7679,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-06T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":8679},"rest":"https://alion.io/mcp/rest/get_company?id=8679"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsp-global-associate-director-data-platforms-technical-lead"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fsp-global-associate-director-data-platforms-technical-lead"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fsp-global-associate-director-data-platforms-technical-lead"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/sp-global-associate-director-data-platforms-technical-lead\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsp-global-associate-director-data-platforms-technical-lead"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":972570}},{"tool":"search_jobs","arguments":{"company":"spglobal.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":972570},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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